PROPSENSE
PRE-SEED ROUND
PROPSENSE
An AI Broker that sells new homes
AI DOES MOST OF THE WORK  ·  A HUMAN CLOSES THE SALE
PROPSENSE
03
THE TEAM
Three founders who've built at scale before.
Sreejith
Sreejith K
CEO · PRODUCT & AI
• Led AI product team at Avataar.ai, Peak XV-backed agentic-AI company selected for India's AI Mission
• Leading AI products at startups since 2019
Atul
Atul Anand
COO · BUSINESS & OPERATIONS
• IIT Kharagpur + ISB
• Built a new business at Matrimony.com from 0 to ₹33 Cr per year
Siddharth
Siddharth Pai
CTO · ENGINEERING
• Architect at WazirX, one of India's largest crypto exchanges
• Core telephony team at Exotel, India's largest cloud telephony platform, enabling 25B+ conversations a year
RERA-REGISTERED BROKERAGE
In 2026 alone, we've already sold:
₹18 Cr
in new home sales
₹45 L
commission earned
Every sale above was supported by our AI broker, with a human closing it.
PROPSENSE
02
THE MARKET
Most new homes in our cities are sold by brokers. Quietly.
₹18,000 Cr
spent by builders last year to sell new homes, in India's top 8 cities alone.
Source: CRE Matrix, Pan-India residential sales 2025 ↗
And of the commission builders pay, ~87% goes to small, scattered brokerages.
Source: brokerage commission pool analysis ↗
Even Square Yards, the biggest tech player, keeps only ~2% of it.
Most portals like Housing, Magicbricks and 99acres primarily sell leads.
PROPSENSE
03
WHY BROKERAGES STAY SMALL
Brokerages have mostly stayed small. That's how they were always built.
01
Most brokerages run on paid marketing and portal leads, so growth has to be bought — it cannot scale quickly.
02
To scale sales, the only lever is to keep hiring more sales people.
03
With 5 lakh+ brokers in the country, no brokerage has anything that sets it apart.
02
TEAM
We sold 6 new homes ourselves. Now building the scalable model to sell lakhs.
We know exactly what brokers and buyers struggle with, and what AI solves.
Sreejith K
Sreejith K
CEO
• Led PM team @ Avataar.ai (Agentic-AI)
• Computer vision product @ Akridata.ai
• SME product charter @ Exotel
Agentic AI · Product
Atul Anand
Atul Anand
COO
• Scaled B2C product 0→$4M ARR
• Full P&L ownership
• IIT KGP + ISB
0→1 · Growth · P&L
Siddharth Pai
Siddharth Pai
CTO
• Architect @ WazirX
• Voice Platform @ Exotel
• Scapic founding team
↳ later acquired by Flipkart
Architect · Voice · Infra
FROM THE TEAMS BEHIND
Avataar, Akridata, Scapic, Exotel IIT KGP, ISB, MediBuddy, Bharat Matrimony WazirX, Scapic, Exotel
PROPSENSE
THE PATTERN
Indian residential proptech has been a graveyard for venture money. The market was never the problem, the model was.
Era
What happened
Listing portals (MagicBricks, Housing)
Software scales, but capped revenue pool
Pure brokerage (PropTiger, IndiaHomes)
Doesn't scale, died or stayed small
Full-stack platforms (NoBroker, Square Yards)
Core revenue never scaled, bolted on home loans, VAS, etc.
THE TRAP
Huge revenue pools no recurring revenue
+
cyclical market
→
Only human armies could win it
→
Headcount scales linearly adds cost, not leverage
Linear growth never pays venture returns.
PROPSENSE
04
OPPORTUNITY · WHERE WE START
Builders spend $2B in 2025[1] to sell new homes, no consolidator in sight. [In India's top 8 cities alone]
PRIMARY-RESIDENTIAL BROKERAGE COMMISSION KEPT[2]
~10-13%
~87%+ kept by unorganised small brokers
Mandate + Organised players, while the largest keeps max ≈1-2% of market only
THE BROKERAGE COMMISSION FLOW
None hold inventory exclusively to sell with their own sales team. Always accessible, builder-direct or through mandate players.
Builder
Owns inventory. Pays 2-8% to whoever brings a buyer.
→
direct (most common)
→
↘
Optional: Mandate aggregator (B2B Layer)
Commission Earned: 5-8%
↳ Broker payout: 2-5%
↗
Organised Brokers
Unorganised Small Brokers
(SME/MSME/Individual Channel Partners)
Commission Kept: 2-5%
Small brokers prove the unit economics, they just can't do it at scale.
PROPSENSE
05
WHAT THE JOB ACTUALLY IS
A broker works with 100 buyers to land a single sale.
90% of buyers are lost before the site visit, because:
1.A broker only pushes a handful of projects, from the builders they associate with — 80% of brokers work with 10-15 projects max.
2.50% of buyers drop off in follow-ups and in RNRs.
100buyers
10site visits
1sale
1%
of the buyers a broker works with ever buy
And most of that work is digital.
~75% digital
Making calls · Messaging on WhatsApp · Updating the CRM
~25% human
the visit + close
PROPSENSE
05
WHY NOW
AI just became good enough, and cheap enough, to do most of a broker's job.
01
AI now sounds human on a call. Natural tone, instant replies, even Indian languages.
AI voice reply time: ~800ms → ~320ms in 2 years, near a human's ~200ms ↗
02
AI has gone from replying to chats to working for hours toward a goal.
03
PROPSENSE
THE SOLUTION
We're building the world's best AI broker that does ~75% of the work (digital).
A human closes the sale.
1st Touch to Site Visit
AUTONOMOUS AI BROKER
CAPABILITY
SPEED
AUTONOMY
COVERAGE
The AI broker handles every touchpoint from first contact to scheduled site visit & further till sale.
›
Site Visit to Sale
BEST HUMAN CLOSER
A lean bench of best closers only ever works site visit-ready buyers.
We'll eventually own the complete transaction layer.
Revenue Now
Brokerage Commission
We get paid only on registered sale.
Expansion
One close unlocks 4 revenue streams
Brokerage › Loan › Legal › Interiors
Brokerage today. Loan, legal, interiors not in the funded plan.
PROPSENSE
08
THE PRODUCT
Here’s the AI Broker, working a real customer.
▶ 4 min · with sound
🗂️Picks the next customer. Reads the whole history, even the last call.
📞Makes the call itself. The one in the video is real.
💬Sends what was promised on WhatsApp, logs everything in the CRM.
🎓Gets coached on every call by an AI Coach.
⬆️Learns, and does better on the next one.
The customer, the call and the scorecard are real. This is running now.
PROPSENSE
09
THE BUSINESS
Builders pay us like a broker. But it runs like software.
HOMES WE SELL
how many
×
AVG. PRICE OF HOME
₹2 Cr
×
OUR COMMISSION
2–5%
=
OUR REVENUE
no other line
WORKED EXAMPLE ₹2.5 Cr × 2.5% → ₹6.25 L revenue to us
More buyers actually buy
Out of every 100 enquiries, the industry books about 1.
We expect Propsense to book 3.
Industry now ~1%
Our target 3%
• Instant to reply, tireless on follow-up
• Knows every project in the city
Margins expand with scale
Cost of selling gets cheaper
• AI keeps learning and can scale 10× efficiently
• AI itself keeps getting cheaper
PROPSENSE
10
TRACTION
The AI has already handled over a thousand home buyers.
700+
home buyers on WhatsApp
qualified, matched, sent the right homes
400+
home buyers on calls
the AI talks to them, like a real broker
30
site visits booked autonomously
end to end, no human touch
50+ builders signed
700+ projects on the platform
Sobha
Prestige
Lodha
Brigade
Total Environment
Purvankara
PROPSENSE
11
THE MODEL AT MATURITY
Software economics in a brokerage body.
Target model & unit economics at scale.
1→3%
conversion
• AI Broker: Instant. Consistent. Tireless. Self-improving. Knows every project, matches better, converts more. (Industry converts 0.5–1%)
8–10×
revenue/head
• 4× leverage (75% AI Broker) × 3× conversion (1→3%)
• ₹80L–1Cr vs PropTiger's ₹8–10L per employee
52→78%
margins
• As brokerages scale, margins collapse. As we scale, margins grow.
Compute-scalable until the buyer site visit.
12
MOATS WE ARE BUILDING
Every sale makes the next one easier.
The Engine
Self-improving AI Broker
A human broker's judgment is trapped in one head and walks out the door. Ours compounds across every buyer and close and never plateaus.
The Data Flywheel
Proprietary deal-flow data that compounds
Every interaction is structured data → more buyers → better matching → more builders.
PROPSENSE
13
COMPETITIVE LANDSCAPE
Everyone sells primary homes. We're the only one designed to scale on compute, not people.
GENERAL + AI-NATIVE
PRIMARY + AI-NATIVE ★
GENERAL + HUMAN
PRIMARY + HUMAN
General ← Market Focus → Primary Residential
Human ← Tech DNA → AI-Native
Well-funded incumbents
Square Yards
IndiaHomes
NoBroker
Investors Clinic
HomeBazaar
Acquired by Aurum Tech
PropTiger
Star Estate
Homesfy
Pin Click
Value Per Sqft
Blox
Propsoch
PROPSENSE
★ Target position
WHY EMPTY?
AI-native isn't AI bolted onto a brokerage. It's the transaction layer rebuilt ground-up, zero legacy, around the domain depth primary demands with focus.
IPO-bound incumbents operating across market segments can't retrofit that without P&L+salesforce rebuild.
Partners (not rivals)
MANDATE: Anarock · PropertyPistol · Xanadu
ADS+LEADGEN: 99acres · Housing.com · MagicBricks
IPCs: JLL · CBRE · Knight Frank
PROPSENSE
14
HOW WE GET HOME BUYERS
We buy our buyers today. We are building the free channel next.
Now
Paid ads — Google & Meta 90–95%
Organic — search & Instagram 5–10%
•Lead capture website set up, campaign creation and monitoring, designing creatives
•Organic today is a separate property-type portal for SEO, plus Instagram
propvison.com @sachi.homes.advisor
Next
Paid ads 75–80%
Organic 20–25%
We intend to invest in organic so more buyers arrive for free — which pulls our blended cost per acquisition down as we grow.
Video brochure
AI generated
See next video type
▶ Tap to play
70–80% of the above work is already done by AI today
PROPSENSE
15
THE ASK
Raising ₹1 crore
We already sell homes and earn commission. This round buys speed: more buyer ads, more projects, five key hires.
MILESTONES
IN 12 MONTHS
45-50 new homes sold
through the AI, ~₹1.9 Cr commission earned
THE AI
Does most of the digital work
a human closes the sale
WHERE IT GOES
₹1 Cr funds the next 12 months of runway
The team
Getting buyers
Product
The team 38%
7 people, growing to 12
Getting buyers 44%
Ads and sales
Product & reserve 18%
AI, WhatsApp, tools, buffer
NEXT ROUND
₹2.5-3 Cr from a VC after the milestones are completed.
By month 12 we're selling 6 homes per month — 2.7× past break-even & the business sustains itself. Any funding beyond that is to grow faster only.
PROPSENSE
16

Let's build the AI-Native Real Estate Platform

One platform doing the work scattered across a million brokers, with a human for the moment that matters.

Thank You

Sreejith K

Sreejith K (CEO)

sk@propsense.ai

+91 81473 47848

Atul Anand

Atul Anand (COO)

atul@propsense.ai

+91 98848 04274

Siddharth Pai

Siddharth Pai (CTO)

sid@propsense.ai

+91 70221 67817

PROPSENSE.AI
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